Model Card for a model trained based on the Unit 1 of the Diffusion Models Class 🧨, not using accelarate yet.

This model is a diffusion model for unconditional image generation of cute, adorable but small 🦋. The model was trained with 1000 images using the DDPM architecture. Images generated are of 64x64 pixel size. The model was trained for 50 epochs with a batch size of 64, using around 11 GB of GPU memory.

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained({hub_model_id})
image = pipeline().images[0]
image